F.R.A.N.K monogram — AI red team sidekick markF.R.A.N.KAI Red Team Sidekick

AI Red Teaming

AI Red Teaming That Holds Under Pressure

Bring prompts, findings, model behavior, and stuck questions. F.R.A.N.K is the AI red teaming sidekick that helps shape scattered red-team work into direction you can use.

Use it to sharpen scope, evidence, prompt pressure, report language, and the next pass.

Brief

Bring rough work. Leave with direction.

F.R.A.N.K keeps the useful parts in view: the prompt, the evidence, the question, and the next move.

  1. 01

    Reads prompts, responses, and behavior notes without losing the objective.

  2. 02

    Turns rough observations into scope, evidence, and retest direction.

  3. 03

    Keeps the work practical: clearer findings, cleaner questions, stronger next moves.

Use It For This

Bring the stuck point. Leave with the next move.

Start in Discord
01

Bring prompts, findings, and behavior notes

Paste the material you already have: model responses, guardrail observations, prompt attempts, rough notes, and questions you need answered.

02

Tighten the next test

Turn scattered context into sharper scope, cleaner assumptions, useful severity language, and a next pass that makes sense.

03

Leave with usable output

Walk away with report-ready wording, retest direction, prompt improvements, and clearer evidence for the people who need to act.

Questions

Operator briefing — AI Red Teaming.

01What does an AI red teaming sidekick actually do?

F.R.A.N.K reads the prompts, responses, and behavior notes you already have, then helps sharpen scope, evidence, severity language, and the next test. It rides with the operator instead of running the engagement.

02Does F.R.A.N.K replace a red teamer?

No. F.R.A.N.K is a sidekick, not an assistant trying to drive. The operator stays in command — F.R.A.N.K sharpens the thinking and writing around the work.

03Is AI red teaming the same as LLM red teaming?

They overlap, but LLM red teaming focuses on the language-model layer (prompts, guardrails, jailbreaks, RAG). AI red teaming is broader — covering classifiers, agents, multimodal models, and the systems around them.